基于TOPSIS的调节直觉模糊集可再生能源选择

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
B. Joshi, Navneet Joshi, A. Gegov
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引用次数: 1

摘要

在选择最佳可再生能源时,必须考虑许多标准,这需要复杂的多标准决策程序。相互冲突的规范以及不充分和不准确的信息使这项工作具有挑战性。为了处理这些不确定性,提出了调节直觉模糊集理论(MIFS),这是直觉模糊集的一个推广。由于调节因子参数,MIFS还有助于在不确定行为中获得更高程度的精度。在本文中,首先提出了MIFS的一些距离度量,然后,在所提出的距离的基础上,我们提出了一种TOPSIS技术来选择MIFS架构中的最佳RES。在一个案例研究中,通过比较不同的风力发电系统,对所提出的基于MIFS的TOPSIS技术的有效性进行了测试。然后将研究结果进行比较,以证明所提出的方法优于现有方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TOPSIS based Renewable-Energy-Source-Selection using Moderator Intuitionistic Fuzzy Set
Many criteria must be taken into account while selecting the best renewable energy source (RES), which necessitates a sophisticated multi-criteria decision-making (MCDM) procedure. Conflicting norms, as well as insufficient and inaccurate information, make this endeavour challenging. The theory of moderator intuitionistic fuzzy set (MIFS), a generalization of intuitionistic fuzzy sets (IFSs) has been developed to handle these uncertainties. The MIFS also helps to get a higher degree of precision in the uncertain behaviours due to the moderator parameter. In this paper, first some distance measures are presented for MIFSs, and then, on the basis of the proposed distances, we suggest a TOPSIS technique for choosing the best RES inside MIFS architecture. The efficacy of the proposed MIFS-based TOPSIS technique is put to the test by comparing different wind generating systems in a case study. The findings of the study are then compared in order to demonstrate that the suggested method is superior to the existing ones.
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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